A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...

Abstract: With limited annotated data, the existing deep learning-based ground-penetrating radar (GPR) data inversion methods have difficulty effectively reconstructing the relative permittivity (RP) ...

Objectives Dementia prevention and climate action share a common imperative: safeguarding future generations’ health. Despite ...

In the announcement, FDA Commissioner Mackary said, “Bayesian methodologies help address two of the biggest problems of drug ...

A research team led by Zhen-Xing Endowed Professor Jian Yang at the School of Life Sciences, Westlake University, has ...

Pharmaceutical regulatory consulting for drug developers and CROs: IND CMC, method validation, NDA strategy, and FDA ...

Overview Big data collection is now a daily practice for businesses, helping them understand behavior and improve services ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Carlo Bicchi belongs to that rare category. In this extensive interview, Chiara Cordero speaks to Carlo Bicchi, winner of the 2026 Marcel Golay Award, as they both prepare to present at the 44th ISCC ...

Andreas Pfenning discusses the techniques being developed and used to study neuronal heterogeneity and the therapeutic potential of his work.

In the context of the digital economy, digital transformation has become a key driver for enterprises to develop new quality productivity, while the business environment plays a crucial role in ...